Supervisely VS Accord.NET Framework

Compare Supervisely VS Accord.NET Framework and see what are their differences

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Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Accord.NET Framework

Machine learning, computer vision and statistics framework for .NET

Landing page //
2023-08-06

Landing page //
2019-08-30

Supervisely

Website: supervisely.com
Pricing URL: Official Supervisely Pricing
$ Details: -

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Accord.NET Framework

Website: accord-framework.net
Pricing URL: -
$ Details

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Supervisely features and specs

Comprehensive Toolset
Supervisely offers a wide range of tools for image annotation, data management, and deep learning model training, providing a one-stop solution for computer vision projects.
Collaborative Platform
It supports team collaboration with features for sharing projects, annotating data, and reviewing work, making it easier for teams to work together.
High Customizability
Supervisely allows users to create custom plugins and automation scripts, offering flexibility to tailor the platform according to specific project needs.
Extensive Dataset Support
The platform supports a wide variety of data formats and types, including images, videos, and 3D data, making it versatile for different applications.
Integrated Machine Learning
Supervisely integrates machine learning capabilities, enabling users to train models directly on the platform and test them using their own annotated data.

Possible disadvantages of Supervisely

Cost
Supervisely can be expensive, particularly for small teams or individual users, as it primarily targets enterprise customers.
Complexity
Due to the breadth of features and tools, there may be a steep learning curve for new users, making it more challenging to get started quickly without adequate training.
Performance Issues
Some users may experience performance issues, particularly when handling very large datasets or running multiple simultaneous tasks.
Cloud Dependency
While a cloud-based platform offers accessibility advantages, it also means that users are dependent on internet connectivity and may face latency or downtime problems.
Limited Offline Features
Supervisely's offline functionality is limited, which can be a drawback for users who need to work in environments with restricted or unreliable internet access.

Accord.NET Framework features and specs

No features have been listed yet.

Supervisely videos

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🛠️Basic annotation overview - Supervisely

Accord.NET Framework videos

No Accord.NET Framework videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Supervisely and Accord.NET Framework)

Accord.NET Framework

Image Annotation

100 100%

Image Annotation

0% 0

Data Science And Machine Learning

76 76%

Data Science And Machine Learning

24% 24

Data Labeling

100 100%

Data Labeling

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Supervisely and Accord.NET Framework. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Supervisely should be more popular than Accord.NET Framework. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Supervisely mentions (6)

Way to label yolov7 images fast
Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: almost 2 years ago
65 Blog Posts to Learn Data Science
Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / over 2 years ago
Bounding Box for Text Annotation
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: over 2 years ago
CVAT alternatives for video frame annotation
Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: almost 3 years ago
Accessing 2022 Machine Learning Imagery from WPI's Photo Album
Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: almost 3 years ago

Accord.NET Framework mentions (2)

Does Accord.NET work on ARM devices such as Android phones or iOS phones?
Http://accord-framework.net/. Is there a better alternative? Source: over 1 year ago
ML/Image Classification/Face recognition on M1 Mac?
Have you tried http://accord-framework.net/? Source: almost 4 years ago